{"id":"W3179889737","doi":"10.1145/3258858","title":"Session details: Mobile interaction","year":2007,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Session (web analytics); Computer science; Mobile interaction; Human–computer interaction; Mobile device; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007330757,0.001434147,0.001832599,0.0005923838,0.002089938,0.002850442,0.001266699,0.003494411,0.9217517],"category_scores_gemma":[0.002288952,0.0002702941,0.001191096,0.0006125517,0.0003123048,0.001466725,0.002133311,0.001793817,0.7591792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003952825,"about_ca_system_score_gemma":0.0005760698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008689691,"about_ca_topic_score_gemma":0.001959986,"domain_scores_codex":[0.9996401,0.00006272205,0.00001750698,0.0000864154,0.00008624767,0.0001069137],"domain_scores_gemma":[0.9985066,0.0004520751,0.00003034349,0.0001654855,0.0002694728,0.000575975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001253815,0.0003978851,0.0002960284,0.0005347044,0.0000210365,0.0001500498,0.00009212038,0.00005544553,0.002361862,0.0007756356,0.9140709,0.07999051],"study_design_scores_gemma":[0.0002166249,0.0004252465,0.002038784,0.0002165737,0.00002725861,0.0001910135,0.0001247715,0.0001865965,0.0009121762,0.0006159004,0.9950231,0.00002196493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004437253,0.003345368,0.003187229,0.005850152,0.02059375,0.001444639,0.01359821,0.00375261,0.9437909],"genre_scores_gemma":[0.01698004,0.002051242,0.0006666345,0.001314224,0.002673185,0.0005859995,0.003331312,0.0006215026,0.9717758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07824826,"threshold_uncertainty_score":0.1116115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143762154977686,"score_gpt":0.410562004931275,"score_spread":0.3691243833814982,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}